Opening – The Governance HeadacheYou’re still doing manual Fabric audits? Fascinating. That means you’re voluntarily spending weekends cross-checking Power BI datasets, Fabric workspaces, and Purview classifications with spreadsheets. Admirable—if your goal is to win an award for least efficient use of human intelligence. Governance in Microsoft Fabric isn’t difficult because the features are missing; it’s difficult because the systems refuse to speak the same language. Each operates like a self-important manager who insists their department is “different.” Purview tracks classifications, Power BI enforces security, Fabric handles pipelines—and you get to referee their arguments in Excel.Enter GPT-5 inside Microsoft 365 Copilot. This isn’t the same obedient assistant you ask to summarize notes; it’s an auditor with reasoning. The difference? GPT-5 doesn’t just find information—it understands relationships. In this video, you’ll learn how it automates Fabric governance across services without a single manual verification. Chain of Thought reasoning—coming up—turns compliance drudgery into pure logic.Section 1 – Why Governance Breaks in Microsoft FabricHere’s the uncomfortable truth: Fabric unified analytics but forgot to unify governance. Underneath the glossy dashboards lies a messy network of systems competing for attention. Fabric stores the data, Power BI visualizes it, and Purview categorizes it—but none of them talk fluently. You’d think Microsoft built them to cooperate; in practice, it’s more like three geniuses at a conference table, each speaking their own dialect of JSON.That’s why governance collapses under its own ambition. You’ve got a Lakehouse full of sensitive data, Power BI dashboards referencing it from fifteen angles, and Purview assigning labels in splendid isolation. When auditors ask for proof that every classified dataset is secured, you discover that Fabric knows lineage, Purview knows tags, and Power BI knows roles—but no one knows the whole story.The result is digital spaghetti—an endless bowl of interconnected fields, permissions, and flows. Every strand touches another, yet none of them recognize the connection. Governance officers end up manually pulling API exports, cross-referencing names that almost—but not quite—match, and arguing with CSVs that refuse to align. The average audit becomes a sociology experiment on human patience.Take Helena from compliance. She once spent two weeks reconciling Purview’s “Highly Confidential” datasets with Power BI restrictions. Two weeks to learn that half the assets were misclassified and the other half mislabeled because someone renamed a workspace mid-project. Her verdict: “If Fabric had a conscience, it would apologize.” But Fabric doesn’t. It just logs events and smiles.The real problem isn’t technical—it’s logical. The platforms are brilliant at storing facts but hopeless at reasoning about them. They can tell you what exists but not how those things relate in context. That’s why your scripts and queries only go so far. To validate compliance across systems, you need an entity capable of inference—something that doesn’t just see data but deduces relationships between them.Enter GPT-5—the first intern in Microsoft history who doesn’t need constant supervision. Unlike previous Copilot models, it doesn’t stop at keyword matching. It performs structured reasoning, correlating Fabric’s lineage graphs, Purview’s classifications, and Power BI’s security models into a unified narrative. It builds what the tools themselves can’t: context. Governance finally moves from endless inspection to intelligent automation, and for once, you can audit the system instead of diagnosing its misunderstandings.Section 2 – Enter GPT-5: Reasoning as the Missing LinkLet’s be clear—GPT‑5 didn’t simply wake up one morning and learn to type faster. The headlines may talk about “speed,” but that’s a side effect. The real headline is reasoning. Microsoft built chain‑of‑thought logic...